10559479
8323
Heinrich Peters
9960
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270264
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
17494
verbose
false
17494
C
1.2019329859336583
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.8056274588169823
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
0.14660663245874161
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22043930
description
https://api.openml.org/data/download/22043930/description.xml
-1
22043931
predictions
https://api.openml.org/data/download/22043931/predictions.arff
area_under_roc_curve
0.9784467990319137 [0.969365,0.982978,0.997757,0.98352]
average_cost
0
f_measure
0.9024218201477449 [0.898466,0.92275,0.909938,0.858391]
kappa
0.852433577980558
kb_relative_information_score
0.8269124620949982
mean_absolute_error
0.0717440277164126
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9026759530791789 [0.902948,0.93133,0.893293,0.83293]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9025268785406045 [0.894028,0.914326,0.927215,0.885457]
predictive_accuracy
0.9026759530791789
prior_entropy
1.7146330399083418
relative_absolute_error
0.216593492185239
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.19198811229957724
root_relative_squared_error
0.4717807095757229
total_cost
0
unweighted_recall
0.8901251957292866 [0.902948,0.93133,0.893293,0.83293]
area_under_roc_curve
0.9773787456037927 [0.971612,0.982313,0.997814,0.972062]
area_under_roc_curve
0.9801885087458603 [0.967588,0.989442,0.995452,0.984309]
area_under_roc_curve
0.9795472759860361 [0.967568,0.985048,0.996456,0.990658]
area_under_roc_curve
0.984100744528062 [0.97903,0.986395,0.997814,0.986286]
area_under_roc_curve
0.9742684698952585 [0.965351,0.97405,0.995452,0.990034]
area_under_roc_curve
0.9798485336068034 [0.977091,0.982228,0.999882,0.973171]
area_under_roc_curve
0.9755537203204421 [0.962979,0.982374,0.997198,0.983284]
area_under_roc_curve
0.9817112099202072 [0.9732,0.984322,0.999208,0.991055]
area_under_roc_curve
0.9792849178416754 [0.971021,0.982898,0.998757,0.984512]
area_under_roc_curve
0.9739262603749237 [0.959402,0.982214,0.998816,0.981931]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9045643770544306 [0.905312,0.925581,0.892308,0.853659]
f_measure
0.9058219254299518 [0.900452,0.941995,0.881356,0.8375]
f_measure
0.8975045234110504 [0.890411,0.92381,0.852941,0.86747]
f_measure
0.9301109244906915 [0.936937,0.940898,0.909091,0.893082]
f_measure
0.8915787103706481 [0.885321,0.909513,0.892308,0.8625]
f_measure
0.9098501233121684 [0.914798,0.919431,0.984615,0.842767]
f_measure
0.880401924204685 [0.874172,0.896882,0.909091,0.844156]
f_measure
0.9135645151830349 [0.907865,0.93617,0.915254,0.871166]
f_measure
0.9024810314836668 [0.895323,0.926014,0.923077,0.853503]
f_measure
0.8880551793982008 [0.874439,0.906475,0.939394,0.857143]
kappa
0.8560856430323798
kappa
0.8576460424004787
kappa
0.8455851160535726
kappa
0.8945243989853032
kappa
0.8362602229349545
kappa
0.8638556424035174
kappa
0.8186253929569821
kappa
0.8688367615507114
kappa
0.8522816186886638
kappa
0.8306082206857196
kb_relative_information_score
0.8317968284946545
kb_relative_information_score
0.8113296811884894
kb_relative_information_score
0.826272900317824
kb_relative_information_score
0.8468959658154634
kb_relative_information_score
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kb_relative_information_score
0.8399271616511913
kb_relative_information_score
0.816398182902255
kb_relative_information_score
0.8404755530869565
kb_relative_information_score
0.8265231039175037
kb_relative_information_score
0.8174176829451227
mean_absolute_error
0.07089780476790715
mean_absolute_error
0.07516389026691728
mean_absolute_error
0.0716271746705134
mean_absolute_error
0.06450867171247987
mean_absolute_error
0.07692387573995883
mean_absolute_error
0.06760115857377891
mean_absolute_error
0.07579094316514985
mean_absolute_error
0.06781257050157538
mean_absolute_error
0.07023874861699243
mean_absolute_error
0.07688230445264348
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.9050944142335653 [0.924528,0.904545,0.90625,0.853659]
precision
0.9072011447577059 [0.900452,0.918552,1,0.858974]
precision
0.8976773772317678 [0.894495,0.92381,0.828571,0.86747]
precision
0.9304439030558908 [0.928571,0.934272,0.909091,0.934211]
precision
0.8921269072199636 [0.893519,0.886878,0.90625,0.896104]
precision
0.910118928111344 [0.902655,0.915094,1,0.881579]
precision
0.8823562279591044 [0.849785,0.903382,0.882353,0.915493]
precision
0.9143687607942088 [0.901786,0.925234,1,0.8875]
precision
0.9029283874824676 [0.881579,0.92381,0.9375,0.893333]
precision
0.8881875969615489 [0.866667,0.908654,0.939394,0.873418]
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.9065934065934066
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.9304029304029303
predictive_accuracy
0.891941391941392
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.8807339449541284
predictive_accuracy
0.9137614678899082
predictive_accuracy
0.9027522935779817
predictive_accuracy
0.8880733944954129
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
1.714437400963805
prior_entropy
1.714437400963805
relative_absolute_error
0.21409999950556116
relative_absolute_error
0.22698289349951176
relative_absolute_error
0.21615160939500594
relative_absolute_error
0.19466987598949326
relative_absolute_error
0.2321356331389467
relative_absolute_error
0.20400217221892802
relative_absolute_error
0.22889227823629754
relative_absolute_error
0.2048084351631907
relative_absolute_error
0.21208241237367287
relative_absolute_error
0.23214229920404844
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
0.19053329994179458
root_mean_squared_error
0.19594142373106047
root_mean_squared_error
0.19497246581905636
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.18218669399468906
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
0
total_cost
0
total_cost
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total_cost
0
total_cost
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.8917358227616476 [0.886878,0.947619,0.878788,0.853659]
unweighted_recall
0.8680177784912361 [0.900452,0.966667,0.787879,0.817073]
unweighted_recall
0.8891077296197779 [0.886364,0.92381,0.878788,0.86747]
unweighted_recall
0.9143965472278726 [0.945455,0.947619,0.909091,0.855422]
unweighted_recall
0.8801798101496897 [0.877273,0.933333,0.878788,0.831325]
unweighted_recall
0.9070020341104679 [0.927273,0.92381,0.969697,0.807229]
unweighted_recall
0.8777771801491681 [0.9,0.890476,0.9375,0.783133]
unweighted_recall
0.8901418142802215 [0.914027,0.947368,0.84375,0.855422]
unweighted_recall
0.8909740018344564 [0.909502,0.92823,0.909091,0.817073]
unweighted_recall
0.8918791288250625 [0.882353,0.904306,0.939394,0.841463]
usercpu_time_millis
8701.749999999947
usercpu_time_millis
8474.080000000185
usercpu_time_millis
8575.567999999748
usercpu_time_millis
8594.60399999989
usercpu_time_millis
8576.328000000103
usercpu_time_millis
8517.221999999947
usercpu_time_millis
8438.124000000244
usercpu_time_millis
8499.05200000012
usercpu_time_millis
7740.522000000055
usercpu_time_millis
8012.868000000026
usercpu_time_millis_testing
103.61799999986943
usercpu_time_millis_testing
103.8300000000163
usercpu_time_millis_testing
107.68199999984063
usercpu_time_millis_testing
106.90599999998085
usercpu_time_millis_testing
108.33999999999833
usercpu_time_millis_testing
105.25600000005397
usercpu_time_millis_testing
101.01200000008248
usercpu_time_millis_testing
95.53600000003826
usercpu_time_millis_testing
94.99600000003738
usercpu_time_millis_testing
97.32600000006641
usercpu_time_millis_training
8598.132000000078
usercpu_time_millis_training
8370.25000000017
usercpu_time_millis_training
8467.885999999908
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
4978.4300327301025
wall_clock_time_millis
4711.331844329834
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
4693.215847015381
wall_clock_time_millis
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wall_clock_time_millis
4306.775093078613
wall_clock_time_millis_testing
57.59000778198242
wall_clock_time_millis_testing
56.860923767089844
wall_clock_time_millis_testing
56.32495880126953
wall_clock_time_millis_testing
54.86702919006348
wall_clock_time_millis_testing
56.188344955444336
wall_clock_time_millis_testing
56.18572235107422
wall_clock_time_millis_testing
55.80902099609375
wall_clock_time_millis_testing
48.277854919433594
wall_clock_time_millis_testing
48.146963119506836
wall_clock_time_millis_testing
55.03106117248535
wall_clock_time_millis_training
4920.84002494812
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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weighted_recall
0.9047619047619048 [0.886878,0.947619,0.878788,0.853659]
weighted_recall
0.9065934065934066 [0.900452,0.966667,0.787879,0.817073]
weighted_recall
0.8974358974358975 [0.886364,0.92381,0.878788,0.86747]
weighted_recall
0.9304029304029304 [0.945455,0.947619,0.909091,0.855422]
weighted_recall
0.891941391941392 [0.877273,0.933333,0.878788,0.831325]
weighted_recall
0.9102564102564102 [0.927273,0.92381,0.969697,0.807229]
weighted_recall
0.8807339449541285 [0.9,0.890476,0.9375,0.783133]
weighted_recall
0.9137614678899083 [0.914027,0.947368,0.84375,0.855422]
weighted_recall
0.9027522935779817 [0.909502,0.92823,0.909091,0.817073]
weighted_recall
0.8880733944954129 [0.882353,0.904306,0.939394,0.841463]